Working with wildlife video frames, the framework starts with image segmentation, followed by low-level feature extraction and classification of the image ...

Working with wildlife video frames, the framework starts with image segmentation, followed by low-level feature extraction and classification of the image ...

A framework that produces semantic context features from video frames which are then employed for key-frame extraction and experiments show that the ...

Abstract—In recent work on image and video retrieval there seems to be a shift of focus from low-level feature extraction to producing high-level semantic ...

This paper presents a framework that produces semantic context features for image frame understanding and further employs a one-class classifier for key-frame ...

Key-frame extraction is one of the important steps in semantic concept based video indexing and retrieval and accuracy of video concept detection highly depends ...

This paper presents a framework that models semantic contexts for key-frame extraction. Semantic context of video frames is extracted and its sequential ...

Experiments show that the utilization of high-level semantic features result in better key-frames extracted semantically as compared with using low-level ...

This paper presents a framework that produces semantic context features for image frame understanding and further employs a one-class classifier for key-frame ...

Suet-Peng Yong, Jeremiah D. Deng , Martin K. Purvis: Key-frame extraction of wildlife video based on semantic context modeling. IJCNN 2012: 1-8.